@inproceedings{chen2020tagray,
  title={TagRay: Contactless Sensing and Tracking of Mobile Objects using COTS RFID Devices},
  author={Chen, Ziyang and Yang, Panlong and Xiong, Jie and Feng, Yuanhao and Li, Xiang-Yang},
  booktitle={IEEE INFOCOM},
  pages={307--316},
  year={2020},
}

@article{sun2015securefind,
  title={Securefind: Secure and privacy-preserving object finding via mobile crowdsourcing},
  author={Sun, Jingchao and Zhang, Rui and Jin, Xiaocong and Zhang, Yanchao},
  journal={IEEE Transactions on Wireless Communications},
  volume={15},
  number={3},
  pages={1716--1728},
  year={2015},
}


@article{kuhn1955hungarian,
  title={The Hungarian method for the assignment problem},
  author={Kuhn, Harold W},
  journal={Naval research logistics quarterly},
  pages={83--97},
  year={1955},
}

@article{romataxi,
  author    = {L. Bracciale and et al},
  title     = {CRAWDAD dataset roma/taxi (v. 2014-07-17)},
  year      = {Jul 2014},
  url       = {https://crawdad.org/roma/taxi/20140717.},
  doi       = {10.15783/C7QC7M},
}

@article{JingGWLLY18,
  title={CrowdTracker: Optimized urban moving object tracking using mobile crowd sensing},
  author={Jing, Yao and Guo, Bin and Wang, Zhu and Li, Victor OK and Lam, Jacqueline CK and Yu, Zhiwen},
  journal={IEEE Internet of Things Journal},
  volume={5},
  number={5},
  pages={3452--3463},
  year={2017},
}

@article{shao2020eco,
  title={Eco-approach with traffic prediction and experimental validation for connected and autonomous vehicles},
  author={Shao, Yunli and Sun, Zongxuan},
  journal={IEEE Transactions on Intelligent Transportation Systems},
  year={2020},
}

@article{wan2016mobile,
  title={Mobile crowd sensing for traffic prediction in internet of vehicles},
  author={Wan, Jiafu and Liu, Jianqi and Shao, Zehui and Vasilakos, Athanasios V and Imran, Muhammad and Zhou, Keliang},
  journal={Sensors},
  volume={16},
  number={1},
  pages={88},
  year={2016},
}

@article{yin2021multi,
  title={Multi-stage attention spatial-temporal graph networks for traffic prediction},
  author={Yin, Xueyan and Wu, Genze and Wei, Jinze and Shen, Yanming and Qi, Heng and Yin, Baocai},
  journal={Neurocomputing},
  volume={428},
  pages={42--53},
  year={2021},
}

@article{li2021traffic,
  title={Traffic flow prediction over muti-sensor data correlation with graph convolution network},
  author={Li, Wei and Wang, Xin and Zhang, Yiwen and Wu, Qilin},
  journal={Neurocomputing},
  volume={427},
  pages={50--63},
  year={2021},
}
@inproceedings{kulshrestha2017fast,
  title={A fast and scalable crowd sensing based trajectory tracking system},
  author={Kulshrestha, Tarun and Niyogi, Rajdeep and Patel, Dhaval},
  booktitle={2017 Tenth International Conference on Contemporary Computing (IC3)},
  pages={1--6},
  year={2017},
}

@article{zhou2020wide,
  title={Wide-Attention and Deep-Composite Model for Traffic Flow Prediction in Transportation Cyber-Physical Systems},
  author={Zhou, Junhao and Dai, Hong-Ning and Wang, Hao and Wang, Tian},
  journal={IEEE Transactions on Industrial Informatics},
  year={2020},
}
@inproceedings{li2019prediction,
  title={Prediction-Based Task Allocation in Mobile Crowdsensing},
  author={Li, Doudou and Zhu, Jinghua and Cui, Yanchang},
  booktitle={2019 15th International Conference on Mobile Ad-Hoc and Sensor Networks (MSN)},
  pages={89--94},
  year={2019},
}
@inproceedings{xu2020unified,
  author    = {Yifan Xu and
               Pan Xu and
               Jianping Pan and
               Jun Tao},
  editor    = {Christian Bessiere},
  title     = {A Unified Model for the Two-stage Offline-then-Online Resource Allocation},
  booktitle = {Proceedings of the Twenty-Ninth International Joint Conference on
               Artificial Intelligence, {IJCAI} 2020},
  pages     = {4206--4212},
  year      = {2020},
}
@article{song2020coverage,
  title={Coverage-oriented task assignment for mobile crowdsensing},
  author={Song, Shiwei and Liu, Zhidan and Li, Zhenjiang and Xing, Tianzhang and Fang, Dingyi},
  journal={IEEE Internet of Things Journal},
  volume={7},
  number={8},
  pages={7407--7418},
  year={2020},
}
@article{wu2020fine,
  title={Fine Grained User Profiling for Personalized Task Matching in Mobile Crowdsensing},
  author={Wu, Fan and Yang, Shuo and Zheng, Zhenzhe and Tang, Shaojie and Chen, Guihai},
  journal={IEEE Transactions on Mobile Computing},
  year={2020},
}
@inproceedings{karaliopoulos2016first,
  title={First learn then earn: Optimizing mobile crowdsensing campaigns through data-driven user profiling},
  author={Karaliopoulos, Merkourios and Koutsopoulos, Iordanis and Titsias, Michalis},
  booktitle={Proceedings of the 17th ACM international symposium on mobile ad hoc networking and computing},
  pages={271--280},
  year={2016}
}
@article{wang2019hytasker,
  title={HyTasker: Hybrid task allocation in mobile crowd sensing},
  author={Wang, Jiangtao and Wang, Feng and Wang, Yasha and Wang, Leye and Qiu, Zhaopeng and Zhang, Daqing and Guo, Bin and Lv, Qin},
  journal={IEEE Transactions on Mobile Computing},
  volume={19},
  number={3},
  pages={598--611},
  year={2019},
}

@article{ni2019enabling,
  title={Enabling strong privacy preservation and accurate task allocation for mobile crowdsensing},
  author={Ni, Jianbing and Zhang, Kuan and Xia, Qi and Lin, Xiaodong and Shen, Xuemin Sherman},
  journal={IEEE Transactions on Mobile Computing},
  volume={19},
  number={6},
  pages={1317--1331},
  year={2019},
}
@article{wang2018location,
  title={Location-aware crowdsensing: Dynamic task assignment and truth inference},
  author={Wang, Xiong and Jia, Riheng and Tian, Xiaohua and Gan, Xiaoying and Fu, Luoyi and Wang, Xinbing},
  journal={IEEE Transactions on Mobile Computing},
  volume={19},
  number={2},
  pages={362--375},
  year={2018},
}
@article{ding2019multiuser,
  title={Multiuser Multivariate Multiorder Markov-Based Multimodal User Mobility Pattern Prediction},
  author={Ding, Jihong and Liu, Huazhong and Yang, Laurence T and Yao, Tong and Zuo, Wuheng},
  journal={IEEE Internet of Things Journal},
  volume={7},
  number={5},
  pages={4519--4531},
  year={2019},
}

@article{wang2020active,
  title={The active learning multi-task allocation method in mobile crowd sensing based on normal cloud model},
  author={Wang, Jian and Wang, Yanli and Zhao, Guosheng and Zhao, Zhongnan},
  journal={Pervasive and Mobile Computing},
  volume={67},
  pages={101181},
  year={2020},
}

@article{wang2014automatic,
  title={Automatic node selection and target tracking in wireless camera sensor networks},
  author={Wang, Yong and Wang, Dianhong and Fang, Wu},
  journal={Computers \& Electrical Engineering},
  volume={40},
  number={2},
  pages={484--493},
  year={2014},
}

@article{yi2018cyber,
  title={Cyber-physical-social collaborative sensing: from single space to cross-space},
  author={Yi, Fei and Yu, Zhiwen and Chen, Huihui and Du, He and Guo, Bin},
  journal={Frontiers of Computer Science},
  volume={12},
  number={4},
  pages={609--622},
  year={2018},
}

@article{chen2019crowdtracking,
  title={Crowdtracking: real-time vehicle tracking through mobile crowdsensing},
  author={Chen, Huihui and Guo, Bin and Yu, Zhiwen and Han, Qi},
  journal={IEEE Internet of Things Journal},
  volume={6},
  number={5},
  pages={7570--7583},
  year={2019},
}

@inproceedings{li2020joint,
  title={Joint spatial-temporal optimization for stereo 3D object tracking},
  author={Li, Peiliang and Shi, Jieqi and Shen, Shaojie},
  booktitleINFOCOM={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={6877--6886},
  year={2020}
}

@inproceedings{wang2019spm,
  title={Spm-tracker: Series-parallel matching for real-time visual object tracking},
  author={Wang, Guangting and Luo, Chong and Xiong, Zhiwei and Zeng, Wenjun},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={3643--3652},
  year={2019}
}

@inproceedings{wu2020future,
  title={Future video synthesis with object motion prediction},
  author={Wu, Yue and Gao, Rongrong and Park, Jaesik and Chen, Qifeng},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={5539--5548},
  year={2020}
}

@article{guo2018task,
  title={Task allocation in spatial crowdsourcing: Current state and future directions},
  author={Guo, Bin and Liu, Yan and Wang, Leye and Li, Victor OK and Lam, Jacqueline CK and Yu, Zhiwen},
  journal={IEEE Internet of Things Journal},
  volume={5},
  number={3},
  pages={1749--1764},
  year={2018},
}

@inproceedings{xue2013destination,
  author    = {Andy Yuan Xue and
               Rui Zhang and
               Yu Zheng and
               Xing Xie and
               Jin Huang and
               Zhenghua Xu},
  title     = {Destination prediction by sub-trajectory synthesis and privacy protection
               against such prediction},
  booktitle = {29th {IEEE} International Conference on Data Engineering, {ICDE}},
  pages     = {254--265},
  year      = {2013},
}

@inproceedings{ashbrook2002learning,
  title={Learning significant locations and predicting user movement with GPS},
  author={Ashbrook, Daniel and Starner, Thad},
  booktitle={Proceedings. Sixth International Symposium on Wearable Computers,},
  pages={101--108},
  year={2002},
}
@article{guo2017emergence,
  title={The emergence of visual crowdsensing: Challenges and opportunities},
  author={Guo, Bin and Han, Qi and Chen, Huihui and Shangguan, Longfei and Zhou, Zimu and Yu, Zhiwen},
  journal={IEEE Communications Surveys \& Tutorials},
  volume={19},
  number={4},
  pages={2526--2543},
  year={2017},
}

@article{wu2017node,
  title={Node scheduling strategies for achieving full-view area coverage in camera sensor networks},
  author={Wu, Peng-Fei and Xiao, Fu and Sha, Chao and Huang, Hai-Ping and Wang, Ru-Chuan and Xiong, Nai-Xue},
  journal={Sensors},
  volume={17},
  number={6},
  pages={1303},
  year={2017},
  }
@inproceedings{liu2009dynamic,
  title={Dynamic node collaboration for mobile target tracking in wireless camera sensor networks},
  author={Liu, Liang and Zhang, Xi and Ma, Huadong},
  booktitle={IEEE INFOCOM 2009},
  pages={1188--1196},
  year={2009},
}
@inproceedings{YamaguchiBOB11,
  title={Who are you with and where are you going?},
  author={Yamaguchi, Kota and Berg, Alexander C and Ortiz, Luis E and Berg, Tamara L},
  booktitle={CVPR 2011},
  pages={1345--1352},
  year={2011},
}

@inproceedings{HorvitzK12,
  author    = {Eric Horvitz and
               John Krumm},
  title     = {Some help on the way: opportunistic routing under uncertainty},
  booktitle = {The 2012 {ACM} Conference on Ubiquitous Computing, Ubicomp '12, Pittsburgh,
               PA, USA, September 5-8, 2012},
  pages     = {371--380},
  year      = {2012}
}
@article{KhezerlouZTLL21,
  title={Forecasting gathering events through trajectory destination prediction: A dynamic hybrid model},
  author={Khezerlou, Amin Vahedian and Zhou, Xun and Tong, Ling and Li, Yanhua and Luo, Jun},
  journal={IEEE Transactions on Knowledge and Data Engineering},
  year={2019}
}
@inproceedings{XuWL16,
  title={DESTPRE: a data-driven approach to destination prediction for taxi rides},
  author={Xu, Mengwen and Wang, Dong and Li, Jian},
  booktitle={Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing},
  pages={729--739},
  year={2016}
}

@inproceedings{pecher2016data,
  title={Data-driven vehicle trajectory prediction},
  author={Pecher, Philip and Hunter, Michael and Fujimoto, Richard},
  booktitle={Proceedings of the 2016 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation},
  pages={13--22},
  year={2016}
}

@article{damashek1995gauging,
  title={Gauging similarity with n-grams: Language-independent categorization of text},
  author={Damashek, Marc},
  journal={Science},
  volume={267},
  number={5199},
  pages={843--848},
  year={1995}
}

@article{XiaoWHCW17,
  title={Online task assignment for crowdsensing in predictable mobile social networks},
  author={Xiao, Mingjun and Wu, Jie and Huang, Liusheng and Cheng, Ruhong and Wang, Yunsheng},
  journal={IEEE Transactions on Mobile Computing},
  volume={16},
  number={8},
  pages={2306--2320},
  year={2016}
}

@inproceedings{xu2019efficient,
  title={Efficient Task Assignment for Crowd-Powered Rebalancing in Bike Sharing Systems},
  author={Xu, Yifan and Wang, Guanghui and Tao, Jun and Pan, Jianping},
  booktitle={2019 IEEE Intelligent Transportation Systems Conference (ITSC)},
  pages={232--237},
  year={2019},
}
@article{xiong2019task,
  title={A task-oriented user selection incentive mechanism in edge-aided mobile crowdsensing},
  author={Xiong, Jinbo and Chen, Xiuhua and Yang, Qing and Chen, Lei and Yao, Zhiqiang},
  journal={IEEE Transactions on Network Science and Engineering},
  volume={7},
  number={4},
  pages={2347--2360},
  year={2019},
}

@article{capponi2019survey,
  title={A survey on mobile crowdsensing systems: Challenges, solutions, and opportunities},
  author={Capponi, Andrea and Fiandrino, Claudio and Kantarci, Burak and Foschini, Luca and Kliazovich, Dzmitry and Bouvry, Pascal},
  journal={IEEE communications surveys \& tutorials},
  volume={21},
  number={3},
  pages={2419--2465},
  year={2019},
}
@article{liu2017participatory,
  title={A participatory urban traffic monitoring system: The power of bus riders},
  author={Liu, Zhidan and Jiang, Shiqi and Zhou, Pengfei and Li, Mo},
  journal={IEEE Transactions on Intelligent Transportation Systems},
  volume={18},
  number={10},
  pages={2851--2864},
  year={2017},
}
@article{aly2016automatic,
  title={Automatic rich map semantics identification through smartphone-based crowd-sensing},
  author={Aly, Heba and Basalamah, Anas and Youssef, Moustafa},
  journal={IEEE Transactions on Mobile Computing},
  volume={16},
  number={10},
  pages={2712--2725},
  year={2016},
}
@inproceedings{pan2017crowdsensing,
  title={Crowdsensing Air Quality with Camera-Enabled Mobile Devices.},
  author={Pan, Zhengxiang and Yu, Han and Miao, Chunyan and Leung, Cyril},
  booktitle={AAAI},
  pages={4728--4733},
  year={2017}
}

@article{yang2015nationtelescope,
  title={NationTelescope: Monitoring and visualizing large-scale collective behavior in LBSNs},
  author={Yang, Dingqi and Zhang, Daqing and Chen, Longbiao and Qu, Bingqing},
  journal={Journal of Network and Computer Applications},
  volume={55},
  pages={170--180},
  year={2015},
  publisher={Elsevier}
}

@article{yang2015participatory,
  title={Participatory cultural mapping based on collective behavior in location based social networks},
  author={Yang, Dingqi and Zhang, Daqing and Qu, Bingqing},
  journal={ACM Transactions on Intelligent Systems and Technology},
  year={2015},
  note = {in press},
  publisher={ACM}
}

@inproceedings{liu2014finding,
  title={Finding nemo: Finding your lost child in crowds via mobile crowd sensing},
  author={Liu, Kaikai and Li, Xiaolin},
  booktitle={2014 IEEE 11th International Conference on Mobile Ad Hoc and Sensor Systems},
  pages={1--9},
  year={2014},
  organization={IEEE}
}

@article{qian2021optimal,
	title={Optimal Location Privacy Preserving and Service Quality Guaranteed Task Allocation in Vehicle-Based Crowdsensing Networks},
	author={Qian, Yongfeng and Ma, Yujun and Chen, Jing and Wu, Di and Tian, Daxin and Hwang, Kai},
	journal={IEEE Transactions on Intelligent Transportation Systems},
	year={2021},
	publisher={IEEE}
}

@article{guo2016activecrowd,
  title={Activecrowd: A framework for optimized multitask allocation in mobile crowdsensing systems},
  author={Guo, Bin and Liu, Yan and Wu, Wenle and Yu, Zhiwen and Han, Qi},
  journal={IEEE Transactions on Human-Machine Systems},
  volume={47},
  number={3},
  pages={392--403},
  year={2016},
  publisher={IEEE}
}

@article{li2019multi,
	title={Multi-task allocation under time constraints in mobile crowdsensing},
	author={Li, Xin and Zhang, Xinglin},
	journal={IEEE Transactions on Mobile Computing},
	year={2019},
	publisher={IEEE}
}

@article{huang2021opat,
	title={OPAT: Optimized Allocation of Time Dependent Tasks for Mobile Crowdsensing},
	author={Huang, Yang and Chen, Honglong and Ma, Guoqi and Lin, Kai and Ni, Zhichen and Yan, Na and Wang, Zhibo},
	journal={IEEE Transactions on Industrial Informatics},
	year={2021},
	publisher={IEEE}
}

@article{yucel2021coverage,
	title={Coverage-Aware Stable Task Assignment in Opportunistic Mobile Crowdsensing},
	author={Yucel, Fatih and Yuksel, Murat and Bulut, Eyuphan},
	journal={IEEE Transactions on Vehicular Technology},
	volume={70},
	number={4},
	pages={3831--3845},
	year={2021},
	publisher={IEEE}
}
